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» Robust feature induction for support vector machines
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ICPR
2008
IEEE
15 years 4 months ago
Weightlessness feature - a novel feature for single tri-axial accelerometer based activity recognition
In this paper, a novel weightlessness feature for activity recognition from a tri-axial acceleration signals have been proposed. Since the orientation between accelerometer and us...
Zhenyu He, Zhibin Liu, Lianwen Jin, Li-Xin Zhen, J...
BMCBI
2005
155views more  BMCBI 2005»
14 years 9 months ago
Mining protein function from text using term-based support vector machines
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
54
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KDD
2005
ACM
99views Data Mining» more  KDD 2005»
15 years 10 months ago
Determining an author's native language by mining a text for errors
In this paper, we show that stylistic text features can be exploited to determine an anonymous author's native language with high accuracy. Specifically, we first use automat...
Moshe Koppel, Jonathan Schler, Kfir Zigdon
BMCBI
2011
14 years 4 months ago
A discriminative method for family-based protein remote homology detection that combines inductive logic programming and proposi
Background: Remote homology detection is a hard computational problem. Most approaches have trained computational models by using either full protein sequences or multiple sequenc...
Juliana S. Bernardes, Alessandra Carbone, Gerson Z...
CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
15 years 1 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor